New Modified Variational Iteration Laplace Transform Method Compares Laplace Adomian Decomposition Method for Solution Time-Partial Fractional Differential Equations by Mohamed Z. Mohamed, Tarig M. Elzaki, Mohamed S. Algolam, Eltaib M. Abd Elmohmoud, Amjad E. Hamza

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Immune checkpoint inhibitors and myocarditis in advanced non-small cell lung cancer: a nationwide cohort study by Fu-Xiao Li, Jia-Xin Cai, Ji-Bin Li, Kong-Jia Luo, Shi-Yu Wang, Wei-Hua Meng, Feng Sha, Zhi-Rong Yang, Allan Hackshaw, Jin-Ling Tang

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Symmetrized Neural Network Operators in Fractional Calculus: Caputo Derivatives, Asymptotic Analysis, and the Voronovskaya–Santos–Sales Theorem by Rômulo Damasclin Chaves dos Santos, Jorge Henrique de Oliveira Sales, Gislan Silveira Santos

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Pre-conception clinical risk factors differ between spontaneous and indicated preterm birth in a densely phenotyped EHR cohort by Jean M. Costello, Hannah Takasuka, Jacquelyn Roger, Ophelia Yin, Alice Tang, Tomiko Oskotsky, Marina Sirota, John A. Capra

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Whole Genome Sequence of the gut commensal protist Tritrichomonas musculus isolated from laboratory mice by Eliza V. C. Alves-Ferreira, Madeline R. Galac, Hernan A. Lorenzi, Margaret C. W. Ho, Erick T. Tjhin, Ana Popovic, John Parkinson, Michael E. Grigg

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TextNeX: Text Network of eXperts for Robust Text Classification—Case Study on Machine-Generated-Text Detection by Emmanuel Pintelas, Athanasios Koursaris, Ioannis E. Livieris, Vasilis Tampakas

“…In this work, we propose TextNeX, a new ensemble model that leverages lightweight language models to achieve state-of-the-art performance while maintaining computational efficiency. The development process of TextNeX model follows a three-phase procedure: (i) <i>Expansion</i>: generation of a pool of diverse lightweight models via randomized model setups and variations of training data; (ii) <i>Selection</i>: application of a clustering-based heterogeneity-driven selection to retain the most complementary models and (iii) <i>Ensemble optimization</i>: optimization of the selected models’ contributions using sequential quadratic programming. …”
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Author Correction: Multi-ancestry meta-analysis of genome-wide association studies discovers 67 new loci associated with chronic back pain by Ian B. Stanaway, Pradeep Suri, Niloofar Afari, Daniel Dochtermann, Armand Gerstenberger, Saiju Pyarajan, Eric J. Roseen, Million Veteran Program, Marianna Gasperi

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Response Surface Design for Flexible Transmission Shaft of GTF Gear Reducer by Liu Chao, Fang Zongde

“…Firstly,parameterized programs in Python language are coded based on Abaqus platform for finite element analysis（ FEA） of the shaft,which achieves automatic calculation for higher computation efficiency. …”
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Fostering critical thinking in learning outcomes of Kazakhstan initial teacher education by Mariya Kabysheva

“…This study employs computer algorithms to analyze how Kazakhstani educational program developers incorporate critical thinking into learning outcomes. …”
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Design system for normalization by Using Normal Forms by Elham hassan Aziz

“…This research recommend to use the modern methods in education, develops  simulation programs in order to improve E-learning to keep up with universities that care about E-learning besides traditional education .      …”
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Continuous Auditing Paradigma Baru dalam Pengauditan by Ferry Sihaloho

“…Auditor must focus on program’s application system through the computer. …”
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A Mathematical Method for Predicting Tunnel Pressure Waves Based on Train Wave Signature and Graph Theory by Xu Zhang, Haiquan Bi, Honglin Wang, Yuanlong Zhou, Nanyang Yu, Jizhong Yang, Yao Jiang

“…This study proposes a generalized mathematical method integrating TWS with graph theory for the simulation of pressure wave generation, propagation, and reflection in complex tunnel systems. A computational program is implemented using this method for efficient simulation. …”
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Adapting the IEEE C57.91 Standard for Underground Transformers With Natural Ester Insulating: Analysis, Thermal Modeling, and Life Expectancy Estimation by Taciana Paula Enderle, Airam Sausen, Paulo Sergio Sausen, Mauricio de Campos

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Cyclic soil-structure interaction of integral railway bridges by Alexander Stastny, Alexander Stastny, Anas Emera, Vahid Galavi, Franz Tschuchnigg

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A Hybrid Approach for the Container Loading Problem for Enhancing the Dynamic Stability Representation by Ana María Montes-Franco, Juan Camilo Martinez-Franco, Alejandra Tabares, David Álvarez-Martínez

“…The effectiveness of the proposed approach is tested using a set of classical benchmark instances, obtaining adequately accurate solutions within a short computational time. The resulting scheme integrates real-world problem conditions and achieves dynamic stability solutions at an acceptable computational cost; it is programmed in C++ instead of relying on proprietary simulation tools.…”
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An Integrative Genomics Approach for the Discovery of Potential Clinically Actionable Diagnostic and Prognostic Biomarkers in Colorectal Cancer by Mark Fertel, Duaa Mohammad Alawad, Chindo Hicks

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Application of Optimal Control Method to Path Tracking Problem of Vehicle by Yingjie Liu, Enhao Wang

“…The results show that by decomposing the partial derivative of the NLP into the partial derivative of the original path optimization problem the computational complexity of the first order partial derivative of NLP is significantly reduced improving computational efficiency even more significantly.…”
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On Some Approaches to the Solution of the Problem «Useful Proof-of-work for Blockchains» by Valeriy G. Durnev, Dmitry M. Murin, Valery A. Sokolov, Dmitry Ju. Chalyy

“…The essence of this principle is that some event (for example the bill-to-bill money transaction) becomes significant after the confirmation by a certain computer work. So, a demand arose for such computational problems to work on, and we will spend on it about the whole blockchain system computing capacity. …”
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A lightweight 256 hexadecimal character substitution Cipher algorithm by Ibrahim Lawal, Musa Yusuf, Adamu Sulaiman Usman, Oluwasegun Ishaya Adelaiye

“…However, these solutions have resulted to generating different ciphers and too many ciphertext, thereby increasing the computational resource utilization in terms of memory usage and the size of the ciphertext after encryption. …”
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Deep Q-Networks for Minimizing Total Tardiness on a Single Machine by Kuan Wei Huang, Bertrand M. T. Lin

“…This paper considers the single-machine scheduling problem of total tardiness minimization. Due to its computational intractability, exact approaches such as dynamic programming algorithms and branch-and-bound algorithms struggle to produce optimal solutions for large-scale instances in a reasonable time. …”
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